Senior Software Engineer, GenAI Tools - Remote | WFH

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Overview

The Senior Software Engineer specializing in GenAI Tools will be pivotal in developing, enhancing, and maintaining innovative generative AI applications. This remote position requires expertise in software engineering principles and practices, along with a passion for advancing AI technologies. The selected candidate will collaborate with cross-functional teams to design robust AI solutions, ensuring scalability, efficiency, and high performance. With a focus on delivering transformative AI capabilities, the role involves mentoring junior engineers, engaging in code reviews, and contributing to architectural discussions that shape the future of our technology stack.

Job Responsibilities

• Design, develop, and deploy cutting-edge generative AI applications.
• Collaborate with product managers and designers to define product requirements and deliver solutions.
• Mentor junior engineers and provide guidance in best practices for software development.
• Participate in code reviews to ensure code quality and best practices.
• Utilize machine learning frameworks and libraries to implement AI algorithms.
• Analyze system performance and implement optimizations to improve scalability and efficiency.
• Work closely with DevOps teams to automate deployment and integration pipelines.
• Stay updated on industry trends and advancements in AI technologies.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• At least 5 years of experience in software development, with a focus on AI or machine learning.
• Strong proficiency in programming languages such as Python, Java, or C++.
• Hands-on experience with AI frameworks like TensorFlow, PyTorch, or similar.
• Understanding of cloud computing platforms (AWS, Azure, Google Cloud) and CI/CD practices.
• Experience with RESTful APIs and microservices architecture.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

The Senior Software Engineer will work extensively with a range of modern technologies and tools that may include machine learning frameworks such as TensorFlow and PyTorch, programming languages like Python and Java, as well as cloud services platforms including AWS and Azure. Familiarity with Docker or Kubernetes for container orchestration and CI/CD tools for streamlined deployment processes will be critical. Continuous integration tools such as Jenkins or CircleCI may also be utilized to ensure code quality throughout the development lifecycle.

Ideal Candidates

Ideal candidates for the Senior Software Engineer position will exhibit a remarkable blend of technical expertise and collaborative spirit. They will possess a strong analytical mindset, capable of tackling complex problems while delivering efficient, scalable solutions. Successful candidates demonstrate a passion for continuous learning and adaptability to evolving technologies, alongside excellent communication skills to effectively articulate ideas and engage with team members across various disciplines. A proactive approach to innovation and a commitment to mentoring others will distinguish them in this role.